Data Scientist

About

Description

As a Product Data Scientist, you will play a key role in driving growth and optimizing MoonPay's products. Your responsibilities will include delivering actionable insights, conducting performance reviews, designing KPIs, and leading A/B testing to drive product enhancements. This role offers an opportunity to work at the forefront of the Web3 ecosystem while collaborating with product teams and business stakeholders.

Responsibilities

• Data Insights and Optimization Provide in-depth insights and recommendations to improve MoonPay's product offerings
• Partner with product teams to review performance, optimize functionality, and deliver data-driven strategies
• Identify and drive new opportunities for product improvements and enhanced customer experiences
• Experimentation and Monitoring Define KPIs, design tracking systems, and establish monitoring frameworks for product launches and updates
• Design and oversee A/B testing and other experiments to evaluate and improve product features
• Leverage predictive modeling and forecasting to provide actionable insights
• Data Solutions Development Build robust data models integrating backend services and external data sources
• Design and scale internal and external data products such as dashboards, reports, models, and integrations
• Develop data pipelines and maintain scalable, high-performance data solutions
• Stakeholder Communication Effectively communicate complex concepts to technical and non-technical stakeholders, including VPs and C-level executives
• Support cross-functional teams, including product managers and engineers, in making informed decisions
• Leadership and Collaboration Lead data projects from inception to completion, aligning with organizational goals
• Mentor junior team members and contribute to the overall standards and approach of the data discipline
• Spearhead initiatives that support organizational stakeholders and business objectives

Qualifications

• 2–5+ years of experience as a data scientist or analyst
• Advanced proficiency in SQL, data modeling, and data visualization tools
• Strong grasp of statistics and probability fundamentals, including experience with A/B testing
• Experience in analytics roles within product teams
• Interest in cryptocurrency and familiarity with blockchain technology
• Versatility to adapt to new technologies and dynamic priorities
• Effective communication skills for cross-functional collaboration
• Preferred Qualifications: Proficiency in tools such as DBT, Google BigQuery, Looker, and Python
• Experience with blockchain data exploration (e
• g
• , Dune, Flipside)
• Background in fintech or start-up environments

Application instructions:

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